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Predicting customer behavior

Suggest edit Updated on March 11, 2021

Harness the power of artificial intelligence and machine learning to drive your business results by managing adaptive, predictive, and text analytics models in Prediction Studio.

In this workspace for data scientists, you can develop, monitor, and adjust models for analyzing customer interactions and communications to predict their future behavior.
  • Getting started with Prediction Studio

    Harness the power of artificial intelligence and machine learning to drive your business results by managing adaptive, predictive, and text analytics models in Prediction Studio.

  • Anticipating customer behavior and business events by using predictions

    Better address your customers' needs by predicting customer behavior and business events. For example, you can determine the likelihood of customer churn, or chances of successful case completion.

  • Developing and managing models

    Configure and manage AI capabilities of Pega Platform to predict customer behavior and perform text analysis. Enhance the relevance of decisions by using adaptive models that are self-learning. Incorporate predictive analytics into every process and every interaction with your customers. Analyze texts from various sources, such as e-mail, chat channels, social media, and so on.

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